Daniel Zink possesses extensive experience in both research and software engineering, with positions at institutions and companies such as the University of Erlangen-Nuremberg, Google, and the Georgia Institute of Technology. Daniel served as a Research Assistant and Teaching Assistant in various mathematical and programming disciplines, with a focus on algorithms, optimization, and analytics modeling. At Google, Daniel advanced from Software Engineer to Senior Software Engineer, contributing significantly to machine learning projects. An academic background includes a Master's degree in Mathematics and dual Bachelor's degrees in Computer Science and Mathematics from Friedrich-Alexander-Universität Erlangen-Nürnberg, complemented by a Ph.D. in Algorithms, Combinatorics, and Optimization from the Georgia Institute of Technology.